Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS ...
Motif-2-12.7B-Reasoning is positioned as competitive with much larger models, but its real value lies in the transparency of ...
Nvidia is leaning on the hybrid Mamba-Transformer mixture-of-experts architecture its been tapping for models for its new ...
Mid-Atlantic Permanente Medical Group shows how trusted data and technology can turn value-based care into better outcomes, ...
The company is positioning its new offerings as a business-ready way for enterprises to build domain-specific agents without first needing to create foundation models.
Abstract: This study introduces a novel finite time fault tolerant controller integrating nonsingular terminal sliding mode (NTSM) and reinforcement learning (RL) strategies for manipulator systems ...
Abstract: Traffic congestion remains a critical challenge in urban mobility, increasing travel time, fuel consumption, and environmental impact. Traditional static timing traffic signal systems lack ...
The development of personalized learning support systems for special education is crucial to address the limitations of traditional one-size-fits-all approaches in meeting diverse learner needs.
VLAC is a general-purpose pair-wise critic and manipulation model which designed for real world robot reinforcement learning and data refinement. It provides robust evaluation capabilities for task ...
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